worldspot.blogg.se - Microct video rotate 3d reconstructed image

MICROCT VIDEO ROTATE 3D RECONSTRUCTED IMAGE FULL
MICROCT VIDEO ROTATE 3D RECONSTRUCTED IMAGE REGISTRATION
MICROCT VIDEO ROTATE 3D RECONSTRUCTED IMAGE SOFTWARE

With 2D X-ray systems you can see what is in an object, while with 3D X-ray systems, such as the Micro-CT, you can see where those things are located. Micro-CT / Nano-CT are more like the medical CT systems where you get slice-by-slice information, but without having to cut up the sample. What we typically think of as X-ray vision is similar to planar X-ray images that you get in a hospital when you break an arm. It allows you to see the inside of something without having to destroy the object itself. Micro-CT, and the higher resolution Nano-CT, is like having X-ray vision, only better. From this workflow, it is straightforward to visualize and segment an AAA battery without damaging the actual part, creating insights into defects and differences between a designed and manufactured battery.What is Micro-Computed Tomography (micro-CT)?

MICROCT VIDEO ROTATE 3D RECONSTRUCTED IMAGE REGISTRATION

The processed 3D model is then analyzed using dataset registration and comparison to look at the differences between CAD design and the actual scanned geometry of a part.Ħ.

Measurements, volume statistics, and centreline analysis are used to quantify the battery.ĥ. This kind of approach is important when visualizing large 3D image datasets, as initial processing can be run quickly and reduces the impact of beam hardening artifacts.Ĥ.

MICROCT VIDEO ROTATE 3D RECONSTRUCTED IMAGE FULL

The Simpleware local correction filter is used to carry out rough segmentation on greatly down-sampled scans, before transferring to a full resolution for a filter.

Data is imported to Simpleware ScanIP for 3D visualization by mapping greyscale information to color and opacity for 3D rendering, using focus contrast to highlight features of interest.ģ. Micro-CT scans are used to acquire the image data of the AAA battery.Ģ.

Calculating effective material properties of a material microstructure using FE-based homogenization.ġ.

Combining image data with CAD files to observe and plan component interactions with imaged subjects.

Exporting CAD-friendly NURBS files for further design work.

Generating a volume mesh for physics-based simulations such as Finite Element (FE) or Computational Fluid Dynamics (CFD).

Exporting STL data for additive manufacture of the prepared models.

Other examples of next steps for 3D image visualization are provided below:

Obtaining measurements and carrying out statistical analysis.

Generating animations from the image data, for example, to rotate the 3D model or ‘fly-through’ its interior.

Segmenting regions of interest and further 3D rendering of the resulting model.

Using image filters to remove unwanted noise or artifacts from the original scans.

Compared to 3D image visualization, for example, 3D image processing involves a wider range of different tasks when working with 3D image data, which can involve steps such as: In most cases, however, 3D image visualization is only the first step in a 3D image processing and model generation workflow. In this respect, the method is valuable as a teaching aid, and for exploring the inside of the human body or a valuable industrial part without invasive or destructive actions.

3D stereoscopic visualization can be applied, for example in modes such as checkerboard, anaglyph, and crystal eyes, to provide a different perspective on the image data.ģD image visualization is effective for quick representations of objects, and for producing high-quality demonstrations.

Live 3D rendering can be used to carry out instant changes to the image, including lighting, transparency, background gradients, and model shading, making it straightforward to create a more realistic-looking model, depending on the application.

The background volume can be GPU rendered for quick and easy visualization of the 3D data, creating a realistic object that can be interacted with by the user.

MICROCT VIDEO ROTATE 3D RECONSTRUCTED IMAGE SOFTWARE

This image data can then be imported to software and visualized in different ways.įor example, in Synopsys Simpleware software, 3D image visualization can involve the following options: A 3D bitmap of greyscale intensities is the result, wherein a voxel (3D pixels) grid is produced. By comparison, in a CT scan, the greyscale intensity at a particular voxel relates to the X-ray absorption by the subject at a particular location.įrom these processes, a reconstructed image volume is obtained: Raw data taken from a CT or MRI scanner is converted into tomography images for visualization, which is typically completed using the software associated with the scanner itself.

As different tissues have varying concentrations of protons, different greyscale intensities are used to create the image. In MRI machines, greyscale intensity is related to the strength of the signal emitted by proton particles during relaxation, and after the use of very strong magnetic fields.